Evidence map›Paper›PMID 29541439›Full record

ArticleMolecular autism2018

Network-specific sex differentiation of intrinsic brain function in males with autism.

Dorothea L Floris, Meng-Chuan Lai, Tanmay Nath, Michael P Milham, Adriana Di Martino

Open access · goldAbstract read
In one paragraph

Article in Molecular autism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 69 citations in OpenAlex.

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  16. Difference in default mode network subsystems in autism across childhood and adolescence.Autism : the international journal of research and practice · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Foetal oestrogens and autism.Molecular psychiatry · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Dorothea L Floris1Hassenfeld Children's Hospital at NYU Langone Health, Department of Child and Adolescent Psychiatry, Child Study Center, 1 Park Avenue, New York City, NY 10016 USA.
Meng-Chuan Lai2Child and Youth Mental Health Collaborative at the Centre for Addiction and Mental Health and The Hospital for Sick Children, Department of Psychiatry, University of Toronto, Toronto, ON M6J 1H4 Canada.
Tanmay Nath1Hassenfeld Children's Hospital at NYU Langone Health, Department of Child and Adolescent Psychiatry, Child Study Center, 1 Park Avenue, New York City, NY 10016 USA.
Michael P Milham4Center for the Developing Brain, Child Mind Institute, New York, NY 10022 USA.
Adriana Di Martino1Hassenfeld Children's Hospital at NYU Langone Health, Department of Child and Adolescent Psychiatry, Child Study Center, 1 Park Avenue, New York City, NY 10016 USA.
Child Mind Institute · USUniversity of Toronto · CA

Funding

Neuronal Correlates of Autistic Traits in ADHD and AutismR01MH105506 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DI MARTINO, ADRIANA · 2015 to 2019
$3.7M
Longitudinal Discovery of Brain Developmental TrajectoriesU01MH099059 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI MILHAM, MICHAEL PETER · 2013 to 2017
$3.7M
Enhancing the Autism Brain Imaging Data Exchange to Define the Autism ConnectomeR21MH107045 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DI MARTINO, ADRIANA · 2015 to 2016
$479k
NIMH NIH HHS R01 MH105506NIMH NIH HHS R21 MH107045NIMH NIH HHS U01 MH099059
6 · The paper itself

Abstract

Background: The male predominance in the prevalence of autism spectrum disorder (ASD) has motivated research on sex differentiation in ASD. Multiple sources of evidence have suggested a neurophenotypic convergence of ASD-related characteristics and typical sex differences. Two existing, albeit competing, models provide predictions on such neurophenotypic convergence. These two models are testable with neuroimaging. Specifically, the Extreme Male Brain (EMB) model predicts that ASD is associated with enhanced brain maleness in both males and females with ASD (i.e., a shift-towards-maleness). In contrast, the Gender Incoherence (GI) model predicts a shift-towards-maleness in females, yet a shift-towards-femaleness in males with ASD. Methods: To clarify whether either model applies to the intrinsic functional properties of the brain in males with ASD, we measured the statistical overlap between typical sex differences and ASD-related atypicalities in resting-state fMRI (R-fMRI) datasets largely available in males. Main analyses focused on two large-scale R-fMRI samples: 357 neurotypical (NT) males and 471 NT females from the 1000 Functional Connectome Project and 360 males with ASD and 403 NT males from the Autism Brain Imaging Data Exchange. Results: Across all R-fMRI metrics, results revealed coexisting, but network-specific, shift-towards-maleness and shift-towards-femaleness in males with ASD. A shift-towards-maleness mostly involved the default network, while a shift-towards-femaleness mostly occurred in the somatomotor network. Explorations of the associated cognitive processes using available cognitive ontology maps indicated that higher-order social cognitive functions corresponded to the shift-towards-maleness, while lower-order sensory motor processes corresponded to the shift-towards-femaleness. Conclusions: The present findings suggest that atypical intrinsic brain properties in males with ASD partly reflect mechanisms involved in sexual differentiation. A model based on network-dependent atypical sex mosaicism can synthesize prior competing theories on factors involved in sex differentiation in ASD.

Indexed as

Models, NeurologicalSex DifferentiationAutistic DisorderBrainFemaleHumansMagnetic Resonance ImagingMaleSex FactorsAutism spectrum disorderExtreme Male BrainGender IncoherenceResting-state fMRISex differentiationSex mosaicism

Identifiers

PMID29541439
PMCPMC5840786
OpenAlexW2801840975

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.